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Dear Sentinels
This is week eight already! How time has flown by. Also, I've swapped Gmail for Proton Mail.
This week, we are looking at the changing job market, AI-related, of course, and then we are delving deep into Retrieval-Augmented Generation (RAG) models. The job market is changing at a brisk pace, with daily headlines of how more and more people are losing their jobs. But fear not, because I have the solution, although it is not what you may think. As for RAG models, they introduce a general fine-tuning recipe combining pre-trained parametric and non-parametric (retrieval-based) memory for knowledge-intensive language generation. This approach sets a new state of the art across multiple open-domain question answering tasks and produces output that is more factual, specific, and diverse than that of parametric-only baselines.
But first, though, let's return to news from the web.
News from around the web
A Better Way to Deploy Voice AI at Scale
Most Voice AI deployments fail for the same reasons: unclear logic, limited testing tools, unpredictable latency, and no systematic way to improve after launch.
The BELL Framework solves this with a repeatable lifecycle — Build, Evaluate, Launch, Learn — built for enterprise-grade call environments.
See how leading teams are using BELL to deploy faster and operate with confidence.
